Monthly Traffic Safety Analysis

21 CRASHES IN
CARVER, MA
NOVEMBER 2022

All metrics benchmarked againstNovember 2021

In November 2022, Carver experienced 21 crashes, a decrease of 8.7% compared to the 23 crashes reported in November 2021. The most significant year-over-year shift was the emergence of fatal crashes, with 1 fatal crash and 1 fatality recorded in November 2022, whereas no fatal crashes or fatalities were reported in the prior year.

21

-8.7%was 23

Total Crash Events

1

Persons Killed

8

100.0%was 4

Persons Injured

1

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The total number of crashes in Carver saw a slight decline year-over-year, decreasing from 23 in November 2021 to 21 in November 2022, representing an 8.7% reduction. Despite this decrease in total crashes, the number of injuries doubled from 4 in November 2021 to 8 in November 2022, and a fatal crash occurred in the current period after none in the prior period.

1

Hit-and-Run Crashes — November 2022

4.8% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0%

8

Motorists Injured

Prior: 4100.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Wednesday in both periods, although the count decreased from 8 crashes in November 2021 to 5 crashes in November 2022. The peak hour also remained consistent at 4 PM, with crashes increasing from 3 in November 2021 to 4 in November 2022. Notably, Friday crashes increased from 0 to 2, and Saturday crashes increased from 2 to 4 year-over-year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution saw a notable change, with 1 fatal crash (4.8% of total crashes) and 1 fatality occurring in November 2022, compared to zero in November 2021. Total injuries increased from 4 in November 2021 to 8 in November 2022, with minor injury crashes increasing from 1 (4.3% share) to 4 (19% share) year-over-year. Serious injury crashes, which accounted for 2 (8.7% share) in the prior period, were not recorded in the current period.

Outcome by Severity (Crash Events)

Fatal1fatal crashes4.8%
Minor Injury4minor injury crashes19%
300.0%prior 1
Possible Injury1possible injury crashes4.8%
0.0%prior 1
No Injury15no injury crashes71.4%
-16.7%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving,' increased by 1 crash from 7 in November 2021 to 8 in November 2022. Conversely, 'Inattention' decreased by 2 crashes, from 6 in the prior period to 4 in the current period. 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' also decreased by 1 crash, from 2 to 1 year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving8 (38.1%)14.3%prior 7
Inattention4 (19%)-33.3%prior 6
Failed to yield right of way3 (14.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4.8%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (4.8%)
Distracted1 (4.8%)
Driving too fast for conditions1 (4.8%)
Followed too closely1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions decreased from 21 in November 2021 to 16 in November 2022, while crashes in cloudy conditions increased from 1 to 2. Crashes on dry road surfaces decreased from 21 to 17, whereas crashes on wet road surfaces doubled from 2 to 4. For lighting conditions, crashes in daylight decreased from 14 to 10, while those in 'Dark - roadway not lighted' increased from 5 to 7.

Weather

Clear16 (84.2%)
-23.8%prior 21
Cloudy2 (10.5%)
Cloudy/Rain1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Weather condition at time of crash

Lighting

Daylight10 (47.6%)
-28.6%prior 14
Dark - roadway not lighted7 (33.3%)
40.0%prior 5
Dusk2 (9.5%)
Dark - unknown roadway lighting1 (4.8%)
Dawn1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Lighting condition field

Road Surface

Dry17 (81.0%)
-19.0%prior 21
Wet4 (19.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (35 vehicles)

1
JEEP4 (11.4%)
2
NISSAN4 (11.4%)
3
HONDA4 (11.4%)
4
FORD3 (8.6%)
5
HYUNDAI3 (8.6%)
6
GMC3 (8.6%)
7
BMW2 (5.7%)
8
CHEVROLET2 (5.7%)
9
VOLKSWAGEN1 (2.9%)
10
DODGE1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Vehicle unit records

4 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (38 persons with recorded sex)

Male23 (60.5%)
15.0%prior 20
Female15 (39.5%)
-11.8%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed zone decreased from 6 in November 2021 to 1 in November 2022, and those in the 45 mph zone decreased from 5 to 3. Conversely, crashes in the 30 mph zone increased from 1 to 2. A fatal crash occurred in the 55 mph speed zone in November 2022, where no fatal crashes were reported in any speed zone in the prior period.

Fatal crashes by zone: 55 mph: 1 of 1 (100%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Posted speed limit at crash location

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Arcgis_yearly Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2022-11-01 through 2022-11-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-11-01 through 2022-11-30 (30 days)
  • Geographic scope: CARVER, MA
  • Total crash records analyzed: 21
  • Total persons involved: 41
  • Total vehicles involved: 35

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "CARVER, MA Crash Intelligence Report: November 2022." Published June 21, 2026. Reporting period: 2022-11-01 to 2022-11-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/carver/november-2022-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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Carver, MA Crash Report — November 2022 | ThatCarHitMe.com